code: def test_nerf(self, device, dtype, nerf_model):
      nerf_model = nerf_model.to(device=device, dtype=dtype)
      num_rays = 15
      origins = torch.rand(num_rays, 3, device=device, dtype=dtype)
      directions = torch.rand(num_rays, 3, device=device, dtype=dtype)
      rgbs = nerf_model(origins, directions)
      assert rgbs.shape == (num_rays, 3)
  
file_path: kornia/test/nerf/test_nerf_model.py
imports: import pytest
  import torch
  from kornia.geometry.camera import PinholeCamera
  from kornia.nerf.nerf_model import MLP, NerfModel, NerfModelRenderer
label_desc: Use image node_id 2 for calling the TestNerfModel obj's underlying member method code with example usage: obj.test_nerf(device, dtype, nerf_model) without return types